Multivariate time series analysis : with R and financial applications /

"Since the publication of his first book, Analysis of Financial Time Series, Ruey Tsay has become one of the most influential and prominent experts on the topic of time series. Different from the traditional and oftentimes complex approach to multivariate (MV) time series, this sequel book emph...

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Detalles Bibliográficos
Autor principal: Tsay, Ruey S., 1951-
Formato: Libro
Lenguaje:Inglés
Publicado: Hoboken, NJ : John Wiley & Sons, c2014.
Colección:Wiley series in probability and statistics
Materias:
Aporte de:Registro referencial: Solicitar el recurso aquí
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050 0 0 |a QA280  |b .T73 2014 
082 0 0 |a 519.5/5  |2 23 
100 1 |a Tsay, Ruey S.,  |d 1951- 
245 1 0 |a Multivariate time series analysis :  |b with R and financial applications /  |c Ruey S. Tsay. 
260 |a Hoboken, NJ :  |b John Wiley & Sons,  |c c2014. 
300 |a xvii, 492 p. :  |b il. ;  |c 25 cm. 
490 1 |a Wiley series in probability and statistics 
504 |a Incluye referencias bibliográficas e índice. 
505 0 |a Multivariate linear time series -- Stationary vector autoregressive time series -- Vector autoregressive moving-average time series -- Structural specification of VARMA models -- Unit-root nonstationary processes -- Factor models and selected topics -- Multivariate volatility models. 
520 |a "Since the publication of his first book, Analysis of Financial Time Series, Ruey Tsay has become one of the most influential and prominent experts on the topic of time series. Different from the traditional and oftentimes complex approach to multivariate (MV) time series, this sequel book emphasizes structural specification, which results in simplified parsimonious VARMA modeling and, hence, eases comprehension. Through a fundamental balance between theory and applications, the book supplies readers with an accessible approach to financial econometric models and their applications to real-world empirical research. The book utilizes the freely available R software package to explore complex data and illustrate related computation and analyses in a user-friendly way. An author-maintained website features additional data sets in R, Matlab and Stata scripts so readers can create their own simulations and test their comprehension of the presented techniques"-- Descripción del editor. 
650 0 |a Time-series analysis. 
650 0 |a R (Computer program language) 
650 0 |a Econometric models. 
650 7 |a Análisis de series de tiempo.  |2 UDESA 
650 7 |a R (Lenguaje de programación (Computadoras))  |2 UDESA 
650 7 |a Modelos econométricos.  |2 UDESA 
830 0 |a Wiley series in probability and statistics